dc.contributor.author |
Malimbwi, R.E. |
|
dc.contributor.author |
Eid, T. |
|
dc.contributor.author |
Chamshama, S.A.O. |
|
dc.date.accessioned |
2016-10-26T08:20:55Z |
|
dc.date.available |
2016-10-26T08:20:55Z |
|
dc.date.issued |
2016 |
|
dc.identifier.citation |
Malimbwi, R.E.(.et al., 2016). Allometric tree biomass and volume models in Tanzania. Morogoro: Department of Forest Mensuration and Management Faculty of Forestry and Nature Conservation Sokoine University of Agriculture |
en_GB |
dc.identifier.isbn |
978-9976-9930-1-1 |
|
dc.identifier.uri |
http://www.taccire.sua.ac.tz/handle/123456789/504 |
|
dc.description.abstract |
The publication is one of outputs of the project on "Development of biomass estimation models for carbon monitoring in selected vegetation types of Tanzania” under the Climate Change Impacts, Adaptation and Mitigation (CCIAM) programme at Sokoine University of Agriculture(SUA), The publication has multiple contributors who participated in different different specializations. The main objective of the project was to develop models and methods for assessing and monitoring carbon stocks in Tanzania required for implementation of REDD+ at local as well as national levels. Vegetation types/tree species covered were miombo woodlands, lowland and humid montane forests, mangrove forests, thicket, Acacia-Commiphora woodlands, forest plantations (Pinus patula and Tectona grandis), and coconut, cashewnut and baobab trees. For some vegetation types, both biomass and volume models were developed while for others only biomass models have been covered. For some vegetation types, both biomass and volume models were developed while for others only biomass models have been covered. The book may be useful for scholars who wish to engage in tree allometric modelling. The developed models may also be used in REDD+ estimations and other
iicarbon trade mechanisms. It may also be useful to the practicing forester for
determination of forest stocking levels needed for forest planning. |
en_GB |
dc.description.sponsorship |
Norwegian government through Climate Change Impacts, Adaptation and Mitigation (CCIAM) programme and the project on Enhancing the Measuring, Reporting and Verification of forests in Tanzania through the application of advanced remote sensing technology (MRV-LiDAR) both hosted at Sokoine University of Agriculture. |
en_GB |
dc.language.iso |
en |
en_GB |
dc.publisher |
Department of Forest Mensuration and Management Faculty of Forestry and Nature Conservation Sokoine University of Agriculture |
en_GB |
dc.subject |
Forest biomass |
en_GB |
dc.subject |
Volume models |
en_GB |
dc.subject |
National Forest Inventory (NFI) |
en_GB |
dc.subject |
Forest management |
en_GB |
dc.subject |
Forest planning |
en_GB |
dc.subject |
Carbon monitoring |
en_GB |
dc.subject |
Biomass models |
en_GB |
dc.subject |
REDD+ |
en_GB |
dc.subject |
Tree allometric modelling |
en_GB |
dc.title |
Allometric tree biomass and volume models in Tanzania |
en_GB |
dc.type |
Book |
en_GB |